Build Smarter Content from Your Own Intelligence
Build Smarter Content from Your Own Intelligence
See why Capitol is the Sovereign Choice for top analysts and leaders.
Book a demo and see how we turn structured data, live research, and internal knowledge into high-quality content in moments, not months.
Our Office
Capitol AI is located in Downtown Washington, D.C.
Your questions, answered.
How Capitol handles data, security, models, workflows, and output quality.
How can I try Capitol?
The best way to see Capitol is through a working demo on your own data. Bring a real workflow, and we will show how Capitol connects the data, builds the process, runs the work, and produces an auditable output.
What does model agnostic mean?
It means you are not locked into one provider. Capitol can use OpenAI, Anthropic, open-source models, or different models for different workflow steps.
How is Capitol different from ChatGPT, Claude, or Codex?
Those tools give individuals access to powerful models. Capitol gives organizations a governed way to use those models on their own data, inside repeatable workflows, with access controls, built-in tools, evaluations, audit trails, and finished outputs.
What can Capitol produce?
Reports, filings, financial models, spreadsheets, decks, apps, published content, and other auditable deliverables.
Who builds the workflows?
The people who understand the work: analysts, researchers, operators, and subject-matter experts. Engineers can extend workflows when needed, but they are not the bottleneck.
How long does it take to get started?
Days, not months. Capitol can connect to your data and start producing useful workflow output quickly.
Can I control the tradeoff between cost, speed, and quality?
Yes. You set the priority for each workflow. Capitol routes each step to an appropriate model to meet it, and no-code evaluations confirm the quality standard is held.
How does Capitol reduce AI cost over time?
Through Compounding, Capitol’s self-learning loop. The system learns which parts of the workflow to keep more deterministic, so future runs become more predictable, faster, and cheaper over time.
Does lower cost mean lower quality?
No. Quality is checked by no-code evaluations against the standard you set. Routing optimizes cost and speed beneath that standard rather than lowering it.
How secure is Capitol?
Capitol supports controlled deployment, single-tenant hosting, bring-your-own-key, role-based access, and SOC 2 compliance. Your data stays under your control and does not train third-party models.
Can non-technical teams evaluate workflow quality?
Yes. No-code evaluations let teams grade accuracy, relevance, and output quality without engineering support.
FAQ
How Capitol handles data, security, models, workflows, and output quality.
How can I try Capitol?
The best way to see Capitol is through a working demo on your own data. Bring a real workflow, and we will show how Capitol connects the data, builds the process, runs the work, and produces an auditable output.
What does model agnostic mean?
It means you are not locked into one provider. Capitol can use OpenAI, Anthropic, open-source models, or different models for different workflow steps.
How is Capitol different from ChatGPT, Claude, or Codex?
Those tools give individuals access to powerful models. Capitol gives organizations a governed way to use those models on their own data, inside repeatable workflows, with access controls, built-in tools, evaluations, audit trails, and finished outputs.
What can Capitol produce?
Reports, filings, financial models, spreadsheets, decks, apps, published content, and other auditable deliverables.
Who builds the workflows?
The people who understand the work: analysts, researchers, operators, and subject-matter experts. Engineers can extend workflows when needed, but they are not the bottleneck.
How long does it take to get started?
Days, not months. Capitol can connect to your data and start producing useful workflow output quickly.
Can I control the tradeoff between cost, speed, and quality?
Yes. You set the priority for each workflow. Capitol routes each step to an appropriate model to meet it, and no-code evaluations confirm the quality standard is held.
How does Capitol reduce AI cost over time?
Through Compounding, Capitol’s self-learning loop. The system learns which parts of the workflow to keep more deterministic, so future runs become more predictable, faster, and cheaper over time.
Does lower cost mean lower quality?
No. Quality is checked by no-code evaluations against the standard you set. Routing optimizes cost and speed beneath that standard rather than lowering it.
How secure is Capitol?
Capitol supports controlled deployment, single-tenant hosting, bring-your-own-key, role-based access, and SOC 2 compliance. Your data stays under your control and does not train third-party models.
Can non-technical teams evaluate workflow quality?
Yes. No-code evaluations let teams grade accuracy, relevance, and output quality without engineering support.
Your questions, answered.
How Capitol handles data, security, models, workflows, and output quality.
How can I try Capitol?
The best way to see Capitol is through a working demo on your own data. Bring a real workflow, and we will show how Capitol connects the data, builds the process, runs the work, and produces an auditable output.
What does model agnostic mean?
It means you are not locked into one provider. Capitol can use OpenAI, Anthropic, open-source models, or different models for different workflow steps.
How is Capitol different from ChatGPT, Claude, or Codex?
Those tools give individuals access to powerful models. Capitol gives organizations a governed way to use those models on their own data, inside repeatable workflows, with access controls, built-in tools, evaluations, audit trails, and finished outputs.
What can Capitol produce?
Reports, filings, financial models, spreadsheets, decks, apps, published content, and other auditable deliverables.
Who builds the workflows?
The people who understand the work: analysts, researchers, operators, and subject-matter experts. Engineers can extend workflows when needed, but they are not the bottleneck.
How long does it take to get started?
Days, not months. Capitol can connect to your data and start producing useful workflow output quickly.
Can I control the tradeoff between cost, speed, and quality?
Yes. You set the priority for each workflow. Capitol routes each step to an appropriate model to meet it, and no-code evaluations confirm the quality standard is held.
How does Capitol reduce AI cost over time?
Through Compounding, Capitol’s self-learning loop. The system learns which parts of the workflow to keep more deterministic, so future runs become more predictable, faster, and cheaper over time.
Does lower cost mean lower quality?
No. Quality is checked by no-code evaluations against the standard you set. Routing optimizes cost and speed beneath that standard rather than lowering it.
How secure is Capitol?
Capitol supports controlled deployment, single-tenant hosting, bring-your-own-key, role-based access, and SOC 2 compliance. Your data stays under your control and does not train third-party models.
Can non-technical teams evaluate workflow quality?
Yes. No-code evaluations let teams grade accuracy, relevance, and output quality without engineering support.